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Modern directional statistics. (English) Zbl 1448.62005
Chapman & Hall/CRC Interdisciplinary Statistics Series. Boca Raton, FL: CRC Press (ISBN 978-1-4987-0664-3/hbk; 978-1-4987-0666-7/ebook). xiv, 176 p. (2017).
Publisher’s description: This book collects important advances in methodology and theory for directional statistics over the last two decades. It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the reading but is not mandatory.
The field of directional statistics has received a lot of attention over the past two decades, due to new demands from domains such as life sciences or machine learning, to the availability of massive data sets requiring adapted statistical techniques, and to technological advances. This book covers important progresses in distribution theory, high-dimensional statistics, kernel density estimation, efficient inference on directional supports, and computational and graphical methods.

MSC:
62-02 Research exposition (monographs, survey articles) pertaining to statistics
62H11 Directional data; spatial statistics
62H05 Characterization and structure theory for multivariate probability distributions; copulas
62H10 Multivariate distribution of statistics
62H22 Probabilistic graphical models
62G07 Density estimation
62R07 Statistical aspects of big data and data science
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